# Errorbar limit selection¶

Illustration of selectively drawing lower and/or upper limit symbols on errorbars using the parameters uplims, lolims of errorbar.

Alternatively, you can use 2xN values to draw errorbars in only one direction.

import numpy as np
import matplotlib.pyplot as plt

fig = plt.figure()
x = np.arange(10)
y = 2.5 * np.sin(x / 20 * np.pi)
yerr = np.linspace(0.05, 0.2, 10)

plt.errorbar(x, y + 3, yerr=yerr, label='both limits (default)')

plt.errorbar(x, y + 2, yerr=yerr, uplims=True, label='uplims=True')

plt.errorbar(x, y + 1, yerr=yerr, uplims=True, lolims=True,
label='uplims=True, lolims=True')

upperlimits = [True, False] * 5
lowerlimits = [False, True] * 5
plt.errorbar(x, y, yerr=yerr, uplims=upperlimits, lolims=lowerlimits,
label='subsets of uplims and lolims')

plt.legend(loc='lower right')


Out:

<matplotlib.legend.Legend object at 0x7f08b7b7b340>


Similarly xuplims and xlolims can be used on the horizontal xerr errorbars.

fig = plt.figure()
x = np.arange(10) / 10
y = (x + 0.1)**2

plt.errorbar(x, y, xerr=0.1, xlolims=True, label='xlolims=True')
y = (x + 0.1)**3

plt.errorbar(x + 0.6, y, xerr=0.1, xuplims=upperlimits, xlolims=lowerlimits,
label='subsets of xuplims and xlolims')

y = (x + 0.1)**4
plt.errorbar(x + 1.2, y, xerr=0.1, xuplims=True, label='xuplims=True')

plt.legend()
plt.show()


## References¶

The use of the following functions, methods, classes and modules is shown in this example:

import matplotlib
matplotlib.axes.Axes.errorbar
matplotlib.pyplot.errorbar


Out:

<function errorbar at 0x7f08bbb79040>


Keywords: matplotlib code example, codex, python plot, pyplot Gallery generated by Sphinx-Gallery